运动学未知的速度控制移动机械臂的预定义时间同步全身控制

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS
Peng Yu;Siming Ma;Ning Tan
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引用次数: 0

摘要

轮式移动平台与机器人机械臂的集成给轮式移动机械臂精确运动学模型的建立带来了挑战。本文研究了运动未知的速度控制wmm的全身运动控制问题。为了证明传统的归零动力学(ZD)模型是不稳定的,提出了一个预定义时间同步(PTS-ZD)模型。该PTS-ZD模型随后被用于求解wmm的全身逆运动学问题。此外,提出了一种迭代梯度动力学(IGD)方法来学习wmm的未知组合雅可比矩阵。通过将PTS-ZD模型与基于igd的方法相结合,提出了一种无模型算法来解决运动未知的wmm运动轨迹跟踪问题。该算法保证了不同维度的跟踪误差在预定义时间内同步收敛到零。该算法的无模型特性使其能够高效、快速地适应各种WMM配置。最后,通过不同wmm的仿真和实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predefined-Time-Synchronized Whole-Body Control of Velocity-Controlled Mobile Manipulators With Unknown Kinematics
The integration of wheeled mobile platforms and robotic manipulators presents challenges in deriving an accurate kinematic model of wheeled mobile manipulators (WMMs). This article investigates the whole-body kinematic control problem for velocity-controlled WMMs with unknown kinematics. We prove that conventional zeroing dynamics (ZD) models are not predefined-time-synchronized (PTS) stable and propose a predefined-time-synchronized ZD (PTS-ZD) model. This PTS-ZD model is subsequently utilized to address the whole-body inverse kinematics problem of WMMs. In addition, an iterative gradient dynamics (IGD) method is proposed to learn the unknown combined Jacobian matrix of WMMs. By integrating the PTS-ZD model with the IGD-based method, we propose a model-free algorithm to address the kinematic trajectory tracking challenge in WMMs with unknown kinematics. The proposed algorithm ensures that the tracking errors across different dimensions converge to zero synchronously within a predefined time. The model-free nature of the algorithm enables efficient and rapid adaptation to various WMM configurations. Finally, the effectiveness of the proposed method is validated through simulations and experiments on different WMMs.
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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